Main
Lucas Moraes
Data scientist and biologist. Experienced with all stages of the data science stack (extraction, wrangling, analysis, modelling and visualization). I believe science should be clear, reproducible and accessible to everyone.
Recent professional experience
Contact & Portfolio
Data scientist
Melhor Envio
N/A
Present - 2021
- Business intelligence: statistics and machine learning models to aid data driven decision making.
- Dataviz and dashboards with ggplot2 and Looker.
- Storytelling: complex subjects made simple for non technical staff.
- Client clustering and segmentation. Metric enhancement.
Independent consultancy in data analysis.
N/A
N/A
2021 - 2018
- Data extraction, wrangling and analysis using the Tidyverse and base-r.
- Dataviz and compilation of reports using ggplot2 and Rmarkdown.
- Statistical approaches for the resolution of scientific questions and hypothesis: linear and logistic regressions, decision trees and predictive analyses in general.
Data analyst
Centro Nacional de Conservação da Flora (JBRJ/MMA)
N/A
2018 - 2016
- Biodiversity data extraction and cleaning through packages with API access to databases (e.g. GBIF, Tropicos).
- Pipeline and custom made scripts for automating tasks and general purpose objectives: string cleaning, webscrapping, statistical analyses and data visualization.
Education
Technical expertise __________________
SQL
R
Tidyverse
markdown
Data Viz
Python
Stats
Machine Learning
Soft Skills
Fluent English
MsC, Genetics
Federal University of Rio de Janeiro
N/A
2018 - 2016
- Identification and conservation of evolutionary distinct lineages of brazilian angiosperms.
- Adviser: Carlos Guerra Schrago.
BsC, Genetics
Federal University of Rio de Janeiro
N/A
2012 - 2007
- Phylogenetic Status and Timescale for the Diversification of Steno and Sotalia Dolphins.
- Bayesian inference and modelling for divergence time estimation.
- Mitochondrial genome sequencing and phylogenetic analysis.
- Adviser: Carlos Guerra Schrago.
Selected publications
Livro Vermelho da Flora Endêmica do Estado do Rio de Janeiro.
https://dados.gov.br/dataset/livrovermelhoendemicasrj
N/A
2018
- Co-author of 8 chapters regarding brazilian flora extinction risk assesssments.
- Assistance in the editing process of the product and image management.
- Field photographer recording activities and species in site.
Rediscovery of Rhipsalis ewaldiana Barthlott & N.P. Taylor (Cactaceae): notes of morphology and conservation of an endemic and threatened species from the Brazilian Atlantic Forest.
Phytotaxa
N/A
2016
- Co-author responsible for the extinction risk assessment of the species.
- English reviewer.
Phylogenetic Status and Timescale for the Diversification of Steno and Sotalia Dolphins.
PLOS One https://doi.org/10.1371/journal.pone.0028297
N/A
2011
- Bayesian inference for divergence times of Sotalia and Steno dolphins from sequenced mitochondrial genomes.
- Co-author responsible for data analysis and modelling.